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基于灰色关联分析的矿床品位估值方案决策分析

Decision analysis of deposit grade evaluation based on grey correlation analysis

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【作者】 黄梓文柯丽华王巧稚余东晓谭铭高恩

【Author】 HUANG Ziwen;KE Lihua;WANG Qiaozhi;YU Dongxiao;TAN Ming;GAO En;School of Resource and Environmental Engineering,Wuhan University of Science and Technology;Hubei Key Laboratory for Efficient Utilization and Agglomeration of Metallurgic Mineral Resources;WISCO Resources Group Wulongquan Corporation Limited;

【通讯作者】 王巧稚;

【机构】 武汉科技大学资源与环境工程学院冶金矿产资源高效利用与造块湖北省重点实验室武钢资源集团乌龙泉矿业有限公司

【摘要】 结合矿床品位估值方案决策的实际需求,提出了基于邓氏关联度的矿床品位估值方案的决策分析方法及步骤,并用于对乌龙泉石灰石矿矿床品位估值方案的优化分析中。考虑矿床品位估值方法和块体单元尺寸、组合样长度、搜索距离和搜索策略等估值参数的变化对该矿矿床品位估值方案关联度的影响,以矿床品位估值方案关联度的变化率为准则,确定方案选择的关键因素是组合样长度和搜索策略。根据乌龙泉石灰石矿矿体赋存特征和配矿要求,最终确定方案X29为最佳方案,该方案的属性分别为块体单元尺寸为10m、克里金法、组合样长度为3m、搜索距离为150m和各向异性的搜索策略。采用优化的参数对该矿品位估值的结果与品位化验数据吻合性较好。

【Abstract】 Based on the actual demand for the decision of grade estimation method of ore deposit,a decision analysis method and steps based on the Deng’s grey correlation degree for the grade estimation of ore deposit is proposed and used in the optimization analysis of grade estimation in the Wulongquan mine.The influence of the change of valuation parameters such as the block dimension,estimation methods,the length of the combined sample,the search distance and the search strategy on the grey correlation degree of grade estimation scheme of deposit grade is analyzed.The key factors determining the choice of the scheme are the combined sample length and search strategy based on the rate of grey correlation change rate.According to the occurrence characteristics and ore-matching requirements of the Wulongquan limestone ore body,the final scheme X29 is the best solution.The attributes of the scheme are the block dimension of 10 m,the kriging method,the combined sample length of 3 m,the search distance of 150 m and anisotropy.By comparing the grade test data of the 1# muck pile with the estimation results based on the grade distribution model,it can be seen that the difference is little.

  • 【文献出处】 中国矿业 ,China Mining Magazine , 编辑部邮箱 ,2019年04期
  • 【分类号】P624
  • 【被引频次】2
  • 【下载频次】151
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